Comparing self-assessment, functional, and anthropometric techniques in predicting osteoporosis

Dynamic Foot Pressure During Walking: A Potential Indicator of Bone Mineral Density

BACKGROUND

Physical skeletal loading can affect the bone mineral density (BMD). This study investigated the association between BMD and dynamic foot pressure during gait.

METHODS

A total of 104 patients (mean age, 62.6 ± 12.4 years; 23 male and 81 female) who underwent dual x-ray absorptiometry and pedobarography were included. BMD values of the lumbar spine, femoral neck, and total femur were assessed. The mean and maximum pressures were measured at the hallux, lesser toes, 1st metatarsal head, 2nd and 3rd metatarsal heads, 4th and 5th metatarsal heads, midfoot, medial heel, and lateral heel. Multivariable regression analysis was performed to identify factors significantly associated with BMD.

RESULTS

The lumbar spine BMD was significantly associated with the mean pressure at the 4th and 5th metatarsal heads (p = 0.041, adjusted R 2 of model = 0.081). The femoral neck BMD was significantly associated with the maximum pressure at the 2nd and 3rd metatarsal heads (p = 0.002, adjusted R 2 = 0.213). The total femoral BMD also showed a significant association with the maximum pressure at the 2nd and 3rd metatarsal heads (p = 0.003, adjusted R 2 = 0.360).

CONCLUSIONS

Foot plantar pressure during gait was significantly associated with BMD, and could potentially be used to predict the presence of osteoporosis.

LEVEL OF EVIDENCE

Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Osteoporosis in Parkinson's disease and the role of lean body mass: a cross-sectional study in a Brazilian tertiary center

Background

Parkinson's disease (PD) is the second most common neurodegenerative illness and has the highest increase rate in recent years. There is growing evidence to suggest that PD is linked to higher osteoporosis rates and risk of fractures.

Objective

This study aims to estimate the prevalence and factors associated with osteoporosis as defined by the National Osteoporosis Foundation (NOF) and World Health Organization in patients with mild to moderate PD.

Methods

We performed a cross-sectional study at a tertiary public hospital in Fortaleza, Brazil, dating from May 2021 until April 2022. The study sample was comprised of patients with mild to moderate PD who were at least 40 years old and who had the ability to walk and stand unassisted. Bone Mineral Density (BMD) of both the hip (neck of the femur) and the lumbar spine were obtained via properly calibrated Dual Energy X-ray Absorptiometry (DXA) scanning. The FRAX (Fracture Risk Assessment Tool) score was used to determine a person's 10-year risk of major osteoporotic fracture. The Revised European Working Group on Sarcopenia in Older People (EWGSOP 2) was used as a basis to confirm a sarcopenia diagnosis with the following parameters: low muscle strength gauged by handgrip strength and low muscle quantity by DXA. Physical performance was carefully evaluated by using the Short Physical Performance Battery test. Osteoporosis and osteopenia were diagnosed following the NOF guidelines and WHO recommendations.

Results

We evaluated 107 patients in total, of whom 45 (42%) were women. The group's mean age was 68 ± 9 years, and the mean disease time span was 9.9 ± 6.0 years and mean motor UPDRS was 43 ± 15. We found that 42.1% and 34.6% of the sample had osteopenia and osteoporosis following NOF criteria, respectively, and 43% and 33.6% following the WHO recommendations. Lower lean appendicular mass was associated to osteopenia and osteoporosis in multinomial logistic regression analysis in both diagnostic criteria.

Conclusion

Our findings provide additional evidence for the protective role of lean mass against osteoporosis in patients with PD.

Use of the Osteoporosis Self-Assessment Tool as a Screening Tool for Osteoporosis in Saudi Postmenopausal Women

BACKGROUND

Osteoporosis is commonly referred to as the "silent disease," as bone loss is gradual and asymptomatic. In older women and men, osteoporosis can lead to increased bone fragility, thus increasing the risk of fractures. These fractures are associated with healthcare costs, physical disabilities, impaired quality of life, and mortality. Therefore, the study's main objective was to assess the applicability of the osteoporosis self-assessment tool (OST) in predicting osteoporosis in Saudi postmenopausal women who are 60 years of age and older and to give a thorough understanding of how such a method can aid in the early diagnosis of osteoporosis in Saudi Arabia and give physicians enough time to treat it.  Methods: This study was done at King Abdulaziz Medical City, Riyadh, Saudi Arabia, where we included postmenopausal Saudi women 60 years of age and older who took the bone mineral density (BMD) test in the family medicine department. The approximate target population in this group, between the years 2016 and 2022, was 2969 patients. All data was taken from the BestCare database at King Abdulaziz Medical City in Riyadh. Data were typed in an Excel sheet (Redmond, USA), then transferred to the R Studio software. The data collection method was chart review, so no informed consent was needed from patients. Names and medical record numbers were not stored.  Results: The study included 2969 participants. According to the bone mineral density (BMD) T score results, 490 participants (16.5%) were normal, 1746 participants (58.8%) had osteopenia, and 733 participants (24.7%) suffered from osteoporosis. BMD T scores for normal, osteopenia, and osteoporosis participants were -0.6 (-0.9, -.3), -1.8 (-2.1), and -3 (-3.5, -2.7), consecutively. Estimated OSTI scores for those patients were 2 (0, 4), 1 (-2, 3), and -1 (-4, 1), consecutively. According to the OSTI score for normal participants, 4.29% were classified as being at high risk of osteoporosis. A high risk of osteoporosis was identified in 0.74% of those with osteopenia. 27.83% of osteoporosis patients were classified as being at high risk of osteoporosis. To differentiate normal individuals from those with osteopenia, the cutoff value with optimal sensitivity was 3.5. At such a cutoff value, the test sensitivity was 81.04%. To differentiate normal participants from those with osteoporosis, the cutoff value with optimal sensitivity was 2.5. At such a cutoff value, the test sensitivity was 86.49%. To differentiate osteopenia from osteoporosis patients, the cutoff threshold with optimal sensitivity was 1.5. At such a threshold, sensitivity was 78.44%.  Conclusion: OSTA is a simple and validated tool that can identify subjects at increased risk of osteoporosis. Its use could facilitate a more cost-effective use of BMD; by avoiding measurements in low-risk groups.

Association of possible sarcopenic obesity with osteoporosis and fragility fractures in postmenopausal women

Possible sarcopenic obese women had a decreased likelihood of osteoporosis but an increased likelihood of fragility fractures compared with non-sarcopenic non-obese and sarcopenia-only women. Furthermore, possible sarcopenic obese women had lower values of trabecular bone score than non-sarcopenic non-obese and sarcopenia-only women.

PURPOSE

The coexistence of possible sarcopenia and obesity may have opposing effects on osteoporosis. This study aimed to investigate whether possible sarcopenic obesity is associated with osteoporosis or fragility fracture.

METHODS

In this cross-sectional study of 1007 postmenopausal women from Taiwan, bone mineral density of the spine and hips was evaluated using dual-energy X-ray absorptiometry (DXA), and bone microarchitecture was evaluated using the trabecular bone score (TBS) derived from a lumbar spine image acquired by DXA. According to the definition of sarcopenia by the 2019 Asian Working Group for Sarcopenia, possible sarcopenia was defined by either low muscle strength or reduced physical performance. Obesity was defined as a body mass index of ≥ 27 kg/m². Based on the presence of possible sarcopenia and obesity, study participants were classified as follows: control (non-sarcopenic non-obese), sarcopenic (non-obese), obese (non-sarcopenic), and sarcopenic obese. Prevalent fragility fractures were determined by retrospectively reviewing medical records.

RESULTS

In this study, 10.1% of participants were classified as sarcopenic obese, 9.1% as obese, 35.2% as sarcopenic, and 45.6% as control. Relative to the control group, the sarcopenic obese group (OR, 0.28; 95% CI 0.18, 0.46) and obese group (OR, 0.38; 95% CI 0.23, 0.61) had a decreased likelihood of osteoporosis. However, the sarcopenic obese group (OR, 2.29; 95% CI 1.31, 4.00) and obese group (OR, 1.94; 95% CI 1.04, 3.62) had an increased likelihood of fragility fractures than with the control group. In addition, the sarcopenic obese group had a higher likelihood of fragility fractures than the sarcopenic group. Possible sarcopenic obese women also had significantly lower TBS values than those in the control and sarcopenic groups.

CONCLUSIONS

Possible sarcopenic obese women had a lower likelihood of osteoporosis but a higher likelihood of fragility fractures than non-sarcopenic non-obese and sarcopenia-only women. Furthermore, possible sarcopenic obese individuals had lower values of TBS than non-sarcopenic non-obese and sarcopenia-only women.

The Impact of the "Osteo" Component of Osteosarcopenia on Fragility Fractures in Post-Menopausal Women

Osteosarcopenia, the coexistence of bone and muscle loss, is common in older adults, but its definition lacks international consensus. This cross-sectional study (n = 1199 post-menopausal women) aimed to determine the association between osteosarcopenia and fragility fractures and to investigate the impact of the definition of the “osteo” component. Bone mineral density and bone microarchitecture were measured by dual-energy X-ray absorptiometry and the trabecular bone score (TBS), respectively. The “osteo” component of osteosarcopenia was classified as osteoporosis (T-score ≤ −2.5 SD), osteopenia/osteoporosis (T-score < −1 SD), and high-fracture-risk osteopenia (−2.5 SD < T-score < −1 SD)/osteoporosis (T-score ≤ −2.5 SD). The Fracture Risk Assessment Tool was used to identify high-fracture-risk osteopenia. Altogether, 30.3%, 32.2%, 14.4%, and 23.1% of participants had osteosarcopenia, osteoporosis alone, sarcopenia alone, and neither condition, respectively. The odds ratios between osteosarcopenia and fragility fractures were 3.70 (95% CI: 1.94–7.04) for osteosarcopenia, 2.48 (95% CI: 1.30–4.71) for osteoporosis alone, and 1.87 (95% CI: 0.84–4.14) for sarcopenia alone. Women with osteosarcopenia also had lower TBS, indicating worse bone microarchitecture. In conclusion, women with osteosarcopenia were more likely to have previously sustained a fracture compared to those without osteosarcopenia, with sarcopenia alone, and with osteoporosis alone. The relationship between osteosarcopenia and fracture risk may be best identified when considering high-fracture-risk osteopenia and osteoporosis.